... kept running into the same problem while coding with Claude and Cursor: I could feel usage climbing, but I had no clean way to see the pace in real time until after the damage was done. So I built TokenBar, a small macOS menu bar app that shows live token usage

... model works best for you, depending on the task. Different models have different strengths: some are better for quick iterations, while others excel at complex design challenges. Hover over each model option to see how they compare, including credit usage per generation. Learn how to pick the best model Build your own chatbot We noticed people like designing chatbots. You can now use the Anthropic API directly in Magic Patterns. Use it to create a working chatbot or support other ... ... works out of the box by using Magic Patterns as a Connector within Magic Patterns. Simply connect the Magic Patterns MCP as a Connector , then share any Magic Patterns link in your prompts. Learn more about Cross-Project referencing . Usage

... shipping real AI products in production. One pattern kept surfacing in almost every conversation: Even with better infrastructure, teams still spend a disproportionate amount of engineering time working around access constraints, token windows, rate limits, throughput ceilings, and unpredictable usage caps. Not because the underlying models can't handle the load, but because the access layer was never designed for the way modern AI products actually scale. So we started exploring a different question: What would AI access look like ... ... were designed for sustained, high-throughput usage

... kept testing prompts across Claude and ChatGPT, then checking usage later and realizing I had basically no feel for where the tokens were going. That was the whole reason I built TokenBar for Mac. It sits in the menu bar and shows token usage

... bill shows up after the damage is already done. You can have rate limits, dashboards, and pricing pages open in ten tabs, but none of that helps when you are iterating fast and have no live feel for token usage while you work. That is why I built TokenBar for macOS. It sits in the menu bar and shows token usage

... Last month I got one of those AI invoices that makes you open the usage page and squint. The annoying part was not that I used tokens. It was that I had almost no visibility while I was actually building. I was jumping between apps, prompts, and models, and the cost only became obvious after the damage was done. So I built TokenBar for macOS. It sits in the menu bar and shows token usage

... signs of what we started calling "compulsive checking" opening Murror out of habit rather than intention. That was a turning point for us. We realized that for a product designed to help people reflect on their emotions, daily active usage was not just a vanity metric it was potentially a harmful one. If someone is using Murror every single day, are they building self-awareness or are they developing a dependency on external validation of their feelings? We made ... ... think this connects to a bigger conversation in tech right now: we have built an entire industry around engagement metrics that may not align with user wellbeing. For tools that deal with mental health, productivity, or personal growth, "more usage

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... deal died in legal review. We weren't an enterprise company. We were a small SaaS with a big ego. What the data said We went back and looked at our own analytics. Feature Build time Customer requests Actual usage

... Feature requests. Sales calls. "It would be great if you added X." We built X. Nobody used it. So we stopped trusting what people said and started tracking what they actually did. The dataset We pulled 12 months of usage data from Rankfender. 1,247 active users. 27 distinct features across 8 modules. We looked at three metrics for each feature: Adoption rate % of users who tried it at least once Retention rate % who used it again after 30 days ... ... users tried it. 3% came back. We spent 4 months building something people asked for but didn't actually stick with. The signals we track now Before building anything, we now look at three things: 1. Usage

... them. I didn t ignore them because I didn t care. They are long, written in legal language, and hard to understand. Recently, I started looking into some of these policies, especially those related to AI training and data usage. I realized how much important information is hidden in documents that most users never read. That s why I built PeekPolicy , a community-driven platform where people can break down company terms, privacy policies, and data usage

... everyone! I just shipped TokenBar a native macOS menu bar app that tracks your AI token usage in real-time across all major providers (OpenAI, Anthropic, Google, etc.). If you're a developer spending money on AI APIs, this gives you instant visibility into what you're burning through right from your menu bar. No more surprise bills. Key features: - Real-time token counting across all providers - Lives in your macOS menu bar zero friction - Tracks costs automatically - $5 lifetime ...

... hard. People hate change. Replacing an intuitive pricing model with a less precise one makes people mad . But that's what Windsurf has done : What's changing: No more credits. Your Free, Pro, or Teams plan includes a usage allowance that refreshes automatically on a daily and weekly basis. For the majority of users, this quota will be enough to fully cover all agent usage

... point where usage gets real. But it's not just about cost you need to watch what your users are actually telling you through their behavior. Sometimes the feature you thought was secondary turns out to be the thing people can't live without. Still figuring it out honestly would love to hear how others are thinking about this. Comment from Fernando Leon(@fernando_gabriel_leon_molina): @busmark_w_nika  We're leaning toward a usage

... community I just launched Stackwatch a usage monitor for dev teams & Solo devs that tracks GitHub Actions minutes, Vercel bandwidth, Railway and Supabase limits in one place and alerts you before you hit them. The idea came from a painfully relatable moment: we hit our GitHub Actions limit mid-deploy on a Friday. No warning, no heads-up just a broken pipeline and a confused team. The fix took 10 minutes, but finding why everything was broken took ... ... plan) when you're approaching a threshold you set One dashboard that refreshes automatically no more tab-switching What I'm genuinely curious about: What's the most painful "I wish I knew sooner" moment you've had with usage

... subscriptions: Claude Pro, Cursor Pro, ChatGPT Plus, Copilot, and Gemini Advanced. $90/month total. I assumed I was using all of them heavily. Turns out I was wrong. When I built TokenBar (a menu bar app that tracks AI usage limits), the first thing I noticed was that my Gemini Advanced usage

... multiple AI coding tools, you've probably hit this: You're deep in a session with Claude Code. You're on a roll. Then: "You've reached your usage limit." No warning. No countdown. Just a wall. Now what? Switch to Cursor? Check if ChatGPT still has capacity? How close are you to Copilot's limit? You don't know. None of these tools show you a unified view of where you stand. I was spending $90/month across ... ... tools and had zero visibility into my actual usage

... that came from manual research . Going through company websites, product docs, and recent launches. Looking closely at how they price their product. After doing this across ~50 companies, patterns start showing up. API products launching. Teams moving to usage-based pricing. Pricing tables getting messy. Now tools start becoming useful. Apollo helps you reach the right people. Clay helps you scale the signals. But the insight still comes from manual research. Right now the best setup seems ...

... auth its just device id stored in keychain no accounts needed which keeps onboarding super minimal biggest challenge has been text extraction different sites block scrapers differently. revenucat for subscriptions has been great tbh, saves a ton of time vs rolling your own Comment from nim(@sup_nim): been building a few ios apps under studio.gold three live rn: speakeasy (turns any article url into audio), astrologica (ai personalized daily horoscope podcasts based on ur birth chart), and wordplay (daily ... ... LinkedIn posts in your voice. It's web-based, and I used Next.js, I used Better-Auth for authentication, and I added 3 strategies: email/password, Google OAuth and LinkedIn OAuth. I used PostgreSQL as the database and Polar (Stripe alternative

... Building an AI SaaS and hitting a wall I didn't expect. We charge customers based on usage (credits). But tracking actual LLM costs per customer is a nightmare: - OpenAI bills us in aggregate, not per-customer - Customer A uses GPT-4, Customer B uses 3.5 same "credit," wildly different cost - No way to set hard spending limits that actually block ... ... requests - End of the month = spreadsheet hell, trying to reconcile Talked to a few other founders, and everyone seems to be either: 1. Eating the cost variance and hoping margins hold 2. Building janky internal tracking 3. Just... not doing usage

... SubTrackHub fixes that. Instead of just showing you a graph of your bill, it deep-scans your infrastructure to pinpoint exactly where the waste is. It moves beyond basic billing APIs to ingest the AWS CUR (Cost and Usage Report) , giving you sub-penny accuracy on exactly what s happening in your VPCs. What it does: AWS CUR Intelligence: Decoding the CUR to find granular spikes in data transfer and S3 usage

... changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product. In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage

... nika): @liron_ben_moshe  I suppose that many people will blindly trust just because of the comfort that it offers. Comment from Nika(@busmark_w_nika): @henrikpedersen  yeah, but in that case we are talking about passive vs active managin the data. I am okay that AI reads something and gives me suggestions, but when actively does things on behalf my name, that's no no Comment from Nika(@busmark_w_nika): @swati_paliwal  reading this ... ... from Nika(@busmark_w_nika): @sangeet_banerjee  I feel a little bit dumb, because, confession: I copy-paste some conversations because I do not understand some people and nuances That said: You are more cautious and concious about usage

... wireless sensor networks and allows users to monitor and manage all devices from one mobile dashboard. At a system level, Snowmatic enables users to: View all connected controllers in one place Turn devices ON or OFF remotely Monitor power usage and operating duration Receive alerts for faults and abnormal behavior Submit service requests directly from the app From this Idea Usher review , it is clear that Snowmatic behaves more like infrastructure software than a lifestyle smart-home app. Reliability ... ... automated Wi-Fi provisioning. This dual setup approach accommodates both technical and non-technical users while maintaining secure pairing. From a builder s standpoint, this Idea Usher review sees onboarding simplicity as critical for IoT adoption. Power Monitoring and Usage

... Problem: Most SaaS affiliate programs pay low commissions (5 15%) or require high-volume traffic to generate meaningful income. Remote work tools often lack referral incentives aligned with actual product usage. Solution: Remote.Team offers a fixed $200 payout per qualified referral. A referral qualifies when: A team signs up via your link Posts 1,000 comments in 30 days Maintains <5% duplicate/spam messages Passes manual review for engagement quality Key details: Program activates automatically after 30 days of your ... ... platform usage

... Source 2 ] That s one of the reasons why we launched a minimalist phone / digital-detox app for iPhone today and we appreciate your support . Anyway, here are a few things you can already do to reduce your smartphone usage: 1. Keep your phone out of sight Not just on silent, ideally in another room. Even its presence on your desk reduces focus. 2. Turn off non-essential notifications If something is truly important, people will call you. The rest ... ... kids see what we do, they want to copy that pattern. Not talking about the fact that it can harm their growth, cognitive functions, motorics etc. Comment from Nika(@busmark_w_nika): @tanoy27  Haev you also tried alternatives